uv-venv

Manage Python virtual environments and dependencies with uv.

Updated Feb 24, 2026
One-click install
npx skills add https://github.com/KameniAlexNea/gladius-agent --skill uv-venv
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: uv-venv
Source: https://github.com/KameniAlexNea/gladius-agent/tree/main/gladius/utils/templates/skills/uv-venv
Command: npx skills add https://github.com/KameniAlexNea/gladius-agent --skill uv-venv

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines Python project setup and dependency management by leveraging the high-performance uv tool, ensuring faster installations and reliable environments.

Core Features & Use Cases

  • Virtual Environment Creation: Quickly set up isolated Python environments using uv venv.
  • Dependency Management: Add, install, and sync Python packages efficiently with uv add and uv sync.
  • Script Execution: Run Python scripts within the managed virtual environment using uv run or direct execution after activation.
  • Use Case: When starting a new Python project or onboarding to an existing one, use this Skill to quickly create a clean virtual environment and install all necessary dependencies as defined in pyproject.toml.

Quick Start

Create a virtual environment and activate it for your current shell session.

Frequently Asked Questions about uv-venv

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up a Python virtual environment using uv?

Create an isolated Python virtual environment using uv by running the `uv venv` command, which quickly generates a clean environment for your current shell session. You then activate it to start installing project dependencies.

Can I use uv to install dependencies defined in pyproject.toml?

Yes, you can install dependencies defined in pyproject.toml using `uv sync` or `uv add`. This synchronizes your virtual environment with the required packages efficiently, ensuring rapid project setup and reliable dependency management.

Do I need uv pre-installed to manage Python environments with this approach?

Yes, uv must be pre-installed on your system to manage Python virtual environments. This Skill operates on standard Python project structures and leverages the high-performance uv package manager for faster installations.

What's the best way to run Python scripts inside an isolated uv environment?

Run Python scripts within a managed virtual environment using the `uv run` command. This executes your code directly inside the isolated environment without needing manual activation beforehand.

Why use uv for Python dependency management over standard tools?

Use uv for Python dependency management to achieve faster installations and reliable environments. It streamlines project setup by efficiently adding, installing, and syncing packages within isolated virtual environments.